AI Strategy & Innovation Lead

The Planet Group; Wayne (PA); On-site; USD 79,556 - 113,307; Part time

Job summary

A prominent consulting firm is seeking a mid-senior level professional to bridge AI and Investment Management. You will be responsible for identifying and prototyping AI solutions that enhance investment operations and decision-making. Ideal candidates have 5-8+ years in tech/strategy, with a strong background in investment fields and hands-on experience with AI tools. This contract position emphasizes collaboration and innovation in a rapidly evolving financial landscape.

Qualifications

• 5-8+ years in tech/strategy, 2-3 years in AI or advanced automation.
• Strong background in Investment Management or Trading environments.
• Hands-on experience with LLMs and cloud-based AI services.

Responsibilities

• Identify and prototype high-value AI use cases in investment data.
• Lead initiatives from idea to proof of concept.
• Optimize investment decision-making using AI.

Skills

AI expertise

Investment Management knowledge

Cloud services familiarity (AWS)

Influence without authority

Tools

GenAI frameworks

GitHub Copilot

Job description

This range is provided by The Planet Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base Pay Range

$70.00/hr staking

Mission

Bridge the gap between emerging AI capabilities and the complex world of Investment Management. You will partner with Product Owners and Engineering teams to identify, prototype, and scale GenAI solutions that optimize ETF operations, trading workflows, and software delivery (SDLC).

Core Priorities

• Discovery & Strategy: Surface high-value AI use cases across investment data workflows and prioritize them based on business impact and feasibility.
• Rapid Prototyping: Lead “Idea-to-POC” initiatives. You’ll build functional demonstrations using GenAI frameworks and cloud services (AWS) to prove value before full-scale engineering.
• Operational Alpha: Identify ways to use AI to sharpen investment decision‑making and automate manual back‑office processes.
• AI-Enabled Engineering: Drive the adoption of AI‑assisted development tools (e.g., GitHub Copilot) to accelerate the SDLC while maintaining security and risk standards.

Qualifications

• Experience: 5–8+ years in professional tech/strategy, with at least 2–3 years focused specifically on AI, GenAI, or advanced automation.
• Domain: A strong background in Investment Management, ETFs, or Trading environments is essential. You understand how financial data moves.
• The “Builder” Mindset: Hands‑on experience with LLMs, GenAI frameworks, and cloud‑based AI services (AWS preferred).
• The “Consultant” Skillset: Ability to influence stakeholders without direct authority and translate “AI hype” into structured, data‑backed business cases.

Nice‑to‑Haves

• Experience in highly regulated environments (Model Risk, Compliance, Governance).
• Familiarity with AI‑assisted developer tools like Claude Code or agentic workflow platforms.

Seniority Level

\ Deric

Mid‑Senior level

Employment Type

Contract

Job Function

Information Technology